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» Combining Textual and Visual Features for Image Retrieval
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ICIP
2001
IEEE
15 years 11 months ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
15 years 4 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang
TMM
2010
249views Management» more  TMM 2010»
14 years 4 months ago
Bridging the Semantic Gap Between Image Contents and Tags
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
CIVR
2009
Springer
141views Image Analysis» more  CIVR 2009»
15 years 1 months ago
Automatic retrieval of visual continuity errors in movies
Continuity errors occur in many movies and television series, in spite of careful checking by those employed to minimise them. In this work we develop a scheme for automatically d...
Lyndsey C. Pickup, Andrew Zisserman
ICCV
2009
IEEE
14 years 7 months ago
Unsupervised learning of high-order structural semantics from images
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang